CHINESE JOURNAL OF PARASITOLOGY AND PARASITIC DISEASES ›› 2020, Vol. 38 ›› Issue (2): 238-244.doi: 10.12140/j.issn.1000-7423.2020.02.017

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Ecological niche modeling and its applications in research on transmission risks of parasitic diseases

Xiao-kang HU, Shang XIA, Yun-hai GUO, Yu-wan HAO, Jing-bo XUE, Shan LV, Jing XU, Shi-zhu LI*()   

  1. National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; National Center for Tropical Diseases Research; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology; Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai 200025, China
  • Received:2019-04-30 Online:2020-04-30 Published:2020-05-11
  • Contact: Shi-zhu LI E-mail:Lisz@chinacdc.cn
  • Supported by:
    Supported by the National Special Science and Technology Project for Major Infectious Diseases of China(2016ZX10004222-004)

Abstract:

Ecological niche modeling is developed based on geographic distribution data and associated environmental variables of the species in concern by applying algorithmic approaches to analyze the niche requirements of the species, for predicting the actual and potential distributions of a particular species under different spatiotemporal conditions. Ecological niche modeling is becoming more and more popular in research predicting the transmission risks of infectious diseases. However, the accurate and rational use of the niche modeling relies on fully understanding of the basic principles and characteristics of the modeling. From the view point of studying risks of parasitic diseases transmission, and the concept of ecological niche, this review introduces essential aspects of the ecological niche modeling including the theoretical basis, data collection and variables selection, modeling algorithm, approaches to evaluate the modeling property, and its applications in predicting transmission risks of parasitic diseases.

Key words: Ecological niche modeling, Parasitic diseases, Transmission risk

CLC Number: